Coordinated operation optimization strategy for multiple microgrids considering uncertainties in renewable energy output

Abstract

Abstract In the process of constructing a new power system with a focus on new energy sources, microgrids will be vigorously developed as an effective means of accommodating renewable resources. The synergistic operation of multiple microgrids, merging into a multi-stakeholder framework, is a method to strengthen the overall effectiveness of the system. However, existing Nash bargaining models consider relatively fewer influencing factors. To enhance the reliability and economic viability of microgrids, this paper effectively proposes a model that combines Nash bargaining with two-stage robust optimization. Specifically, the optimization model is divided into two stages. In the first stage, equipment configuration is optimized with the objective of system economy. In the second stage, uncertainties arising from renewable energy sources are considered. Subsequently, the two-stage robust model utilizes C&CG to obtain energy exchange values between microgrids. The Nash bargaining model is then addressed using the ADMM algorithm. Finally, through case simulations, the improvement in the benefits of different microgrids is verified to be in the range of 13% to 24%.